Insight
AI in Supply Chain Management: How Useful Will It Be in 2026?
Matthew Derganc shares perspectives with Inbound Logistics on the utility of AI in supply chain management in 2026.
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Despite good intentions to create performance visibility, many companies chased the wrong shiny object and left EBITDA on the table. Years ago, the “dashboard war room” represented the holy grail of big data. But in reality, few companies delivered game-changing results. Many businesses simply digitized existing reports rather than building strategic dashboards, aligning the entire business around them, and integrating them into decision-making. Companies that missed the mark on digital dashboards have a sizable prospect for faster value creation.
Matthew Derganc shares perspectives with Inbound Logistics on the utility of AI in supply chain management in 2026.
Learn MoreGaps in contract renewal processes leave EBITDA on the table, particularly in industries with high retention rates or
Learn MoreWill enterprises ever trust autonomous systems? Discover why autonomy remains elusive, how agentic AI is being adopted, and
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